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How decentralized AI training will create a new asset class for digital intelligence

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How decentralized AI training will create a new asset class for digital intelligence

Frontier AI — the most advanced general-purpose AI systems currently in development — is becoming one of the world’s most strategically and economically important industries, yet it remains largely inaccessible to most investors and builders. Training a competitive AI model today, similar to the ones retail users frequent, can cost hundreds of millions of dollars, demand tens of thousands of high‑end GPUs, and require a level of operational sophistication that only a handful of companies can support. Thus, for most investors, especially retail ones, there is no direct way to own a piece of the artificial intelligence sector.

That constraint is about to change. A new generation of decentralized AI networks is moving from theory to production. These networks connect GPUs of all kinds from around the world, ranging from expensive high‑end hardware to consumer gaming rigs and even your MacBook’s M4 chip, into a single training fabric capable of supporting large, frontier‑scale processes. What matters for markets is that this infrastructure does more than coordinate compute; it also coordinates ownership by issuing tokens to participants who contribute resources, which gives them a direct stake in the AI models they help create.

Decentralized training is a genuine advance in the state of the art. Training large models across untrusted, heterogeneous hardware on the open internet was, until recently, said to be an impossibility by AI experts. However, Prime Intellect has now trained decentralized models currently in production — one with 10 billion parameters (the quick, efficient all-rounder that’s fast and capable for everyday tasks) and another with 32 billion parameters (the deep thinker that excels at complex reasoning and delivers more nuanced, sophisticated results).

Gensyn, a decentralized machine-learning protocol, has demonstrated reinforcement learning that can be verified onchain. Pluralis has shown that training large models using commodity GPUs (the standard graphics cards found in gaming computers and consumer devices, rather than expensive specialized chips) in a swarm is an increasingly viable decentralized approach for large-scale pretraining, the foundational phase where AI models learn from massive datasets before being fine-tuned for specific tasks.

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To be clear, this work is not just some research project—it’s already happening. In decentralized training networks, the model does not “sit” inside a single company’s data center. Instead, it lives across the network itself. Model parameters are fragmented and distributed, meaning no single participant owns the entire asset. Contributors supply GPU compute and bandwidth, and in return, they receive tokens that reflect their stake in the resulting model. This way, training participants don’t just serve as resources; they earn alignment and ownership in the AI they are creating. This is a very different alignment from what we see in centralized AI labs.

Here, tokenization becomes integral, giving the model an economic structure and market value. A tokenized AI model acts like a stock, with cash flows reflecting the model’s demand. Just like OpenAI and Anthropic charge users for API access, so can decentralized networks. The result is a new kind of asset: tokenized intelligence.

Instead of investing in a large public company that owns models, investors can gain exposure to models directly. Networks will implement this through different strategies. Some tokens may primarily confer access rights — priority or guaranteed usage of the model’s capabilities — while others may explicitly track a share of net revenue generated when users pay to run queries through the model. In both cases, the token markets begin to function like a stock market for models, where prices reflect expectations about a model’s quality, demand and usefulness. For many investors, this may be the most direct path to participate financially in AI’s growth.

This development does not occur in a vacuum. Tokenization is already moving into the financial mainstream, with platforms like Superstate and Securitize (set to go public in 2026) that are bringing funds and traditional securities onchain. Real‑world asset strategies are now a popular topic among regulators, asset managers and banks. Tokenized AI models naturally fit into this category: they are digitally native, accessible to anyone with an internet connection regardless of location, and their core economic activity—computation for inference, the process of running queries through a trained model to get answers—is already automated and trackable by software. Among all tokenized assets, continuously improving AI systems may be the most inherently dynamic, as models can be upgraded, retrained and improved over time.

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Decentralized AI networks are a natural extension of the thesis that blockchains enable communities to collectively fund, build, and own digital assets in ways previously impossible. First was money, then financial contracts, then real‑world assets. AI models are the next digitally native asset class to be organized, owned and traded onchain. Our view is that the intersection of crypto and AI will not be limited to “AI‑themed tokens”; it will be anchored in actual model revenue, backed by measurable compute and usage.

It is still early. Most decentralized training systems are in active development, and many token designs will fail technical, economic or regulatory tests. But the direction is clear: the decentralized AI training networks are set to become a liquid, globally coordinated resource. AI models are becoming shareable, ownable and tradable through tokens. As these networks mature, markets will not just price companies that build intelligence; they will price intelligence itself.

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OKX CEO Rips CZ Bitcoin Story as Dispute Escalates

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Crypto Breaking News

The Narrative of Questions around Investment

Xu said that Zhao frequently revisits the tale of selling property to amass Bitcoin, but there are important details that remain vague.

He also doubted whether this property belonged to Zhao or how it was initially financed.

Zhao had previously clarified that he sold an apartment at an approximate price of 900,000 and used the money to purchase Bitcoin at an average price of 600.

Therefore, Xu’s statements question the accuracy of the account but introduce a new challenge to the chronology.

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The Conflict over Personal Life

The conflict spread beyond investment claims, with Xu mentioning Zhao’s personal life, including his divorce.

Xu proposed that Zhao might have provided biased information as he crafted a social identity for his financial choices.

Zhao replied by confirming that he had divorced and that he would not disclose legal documents to respect privacy.

He further insisted that his public pronouncements remain valid despite the criticism.

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The Escalation and Legal Bet

The situation grew tense when Zhao made a 1-billion-dollar bet to prove his words about the divorce.

Moreover, he even volunteered to undergo legal verification should Xu agree to participate in the bet.

Xu did not accept the strategy and said that such a publicly declared bet was not befitting the leaders of controlled firms.

Therefore, he cast doubt on how such activities would be perceived by regulators of a high-profile exchange executive.

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The Wider Context and Ongoing Dispute

The dispute is part of a wider struggle that can be traced back to earlier conflicts over business transactions and accusations.

In addition, Zhao has addressed past allegations in his book and refuted them, citing critics.

Moreover, both individuals continue to clash in the media, and the conflict remains ongoing in the crypto industry.

Therefore, the scenario underscores the ongoing conflict between major exchange executives as competition rises.

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Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Trump Imposes Naval Blockade on Strait of Hormuz After Iran Talks Fail

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

Key Points

  • Diplomatic negotiations between Washington and Tehran concluded after 21 hours without agreement in Pakistan
  • Nuclear weapons development remained the central sticking point, according to Vice President JD Vance
  • President Trump directed immediate naval blockade operations in the Strait of Hormuz
  • Approximately 20% of worldwide petroleum and LNG shipments transit through the strategic waterway
  • Energy commodity prices anticipated to surge when trading begins Monday

Diplomatic efforts between Washington and Tehran concluded without resolution on Sunday in Islamabad, Pakistan, as 21 hours of intensive negotiations failed to produce a breakthrough on fundamental disagreements.

The American negotiating team, headed by Vice President JD Vance, cited Iran’s unwillingness to halt its nuclear weapons development as the primary obstacle to reaching an accord.

“Our non-negotiable requirements have been communicated with absolute clarity, and they have declined to meet our conditions,” Vance stated to journalists in Islamabad during the early hours of Sunday.

Tehran’s diplomatic representatives characterized the outcome differently, with Foreign Ministry spokesman Esmail Baghaei noting that complex international disputes require multiple rounds of engagement. He emphasized that “diplomatic channels remain open” for continued dialogue.

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The negotiating agenda encompassed three critical issues: governance of the Strait of Hormuz passage, extending the temporary ceasefire agreement, and implementing a graduated sanctions reduction framework. Iranian semi-official news outlets characterized American proposals as “unreasonable.”

Since hostilities between the United States and Israel commenced in late February, Iran has effectively halted maritime transit through the Strait of Hormuz. This critical chokepoint facilitates roughly one-fifth of global oil and liquefied natural gas transportation worldwide.

On Sunday, two unladen oil tankers attempted passage through the strait but reversed course precisely when the diplomatic talks concluded.

Presidential Order for Naval Interdiction

Following the diplomatic breakdown, President Trump announced via Truth Social that U.S. naval forces would commence blockade operations in the Strait of Hormuz without delay.

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“Effective immediately, the United States Navy will begin the process of blockading any and all ships trying to enter or leave the Strait of Hormuz,” Trump wrote.

Trump additionally declared that American naval vessels would detain any ship operating in international waters that had submitted payment to Iranian authorities. “No vessel paying an illegitimate fee will receive safe passage through these waters,” he stated.

The President characterized the diplomatic session as productive overall, noting that “most points were agreed,” while acknowledging the insurmountable divide concerning Iran’s nuclear ambitions.

Energy Markets Prepare for Volatility

Market observers predict substantial increases in petroleum and natural gas valuations when trading commences Monday. Nick Twidale, chief market analyst at AT Global Markets in Sydney, noted growing optimism last week preceding the negotiations.

“This could set us back to levels that we were trading at prior to the ceasefire announcement,” Twidale said. “I would think we will see oil open higher alongside the dollar.”

The recently established two-week ceasefire now appears increasingly unstable. Pakistani officials, who facilitated the discussions, described them as “constructive” and pledged ongoing mediation support.

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Casualties from the conflict have exceeded 5,600 across Iran, Lebanon, and surrounding territories. U.S. Central Command reports thirteen American military personnel have been killed.

Israeli Prime Minister Benjamin Netanyahu advocated for the removal of enriched nuclear materials from Iranian facilities regardless of whether diplomatic agreements materialize.

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Three AI Chip Stocks Trading Below Their Potential: Micron (MU), AMD, and TSMC (TSM)

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MU Stock Card

Key Highlights

  • Micron’s Q2 fiscal 2026 quarterly sales surged nearly 200% compared to the prior year, with records set in all divisions
  • AMD delivered $10.3 billion in Q4 2025 sales, marking a 34% jump year-over-year alongside a 57% non-GAAP gross margin
  • TSMC forecasts approximately 30% revenue expansion in 2026 when measured in U.S. dollars
  • Despite strong AI exposure, these three companies maintain more modest price-to-earnings multiples than leading AI chipmakers
  • TSMC anticipates its AI accelerator division will expand at a compound annual rate in the mid-40 percent range through 2029

Three semiconductor powerhouses—Micron, AMD, and Taiwan Semiconductor Manufacturing—are riding the artificial intelligence wave with impressive momentum. Yet despite robust financial performance and accelerating growth trajectories, market analysts suggest these stocks may be undervalued relative to their sector peers.

The ongoing buildout of AI infrastructure has created surging demand across the semiconductor supply chain, from specialized memory modules to cutting-edge processors and advanced fabrication services. While these companies occupy distinct positions within this ecosystem, they share a compelling characteristic: substantial revenue acceleration without the elevated valuation multiples commanded by other AI-focused names.

Micron: Transforming from Commodity Memory to Critical AI Component

Micron has undergone a remarkable repositioning in investor perception, evolving from a cyclical commodity producer into an essential AI infrastructure provider.


MU Stock Card
Micron Technology, Inc., MU

During the company’s fiscal second quarter of 2026, revenues expanded almost threefold versus the same period twelve months prior. The semiconductor manufacturer achieved unprecedented performance levels across its entire product portfolio, including DRAM, NAND flash, high-bandwidth memory, and all operating segments.

Profitability metrics showed equally dramatic improvement. The company’s fiscal third-quarter outlook alone is projected to surpass total annual revenue figures from any fiscal year ending through 2024.

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Artificial intelligence servers demand massive quantities of specialized high-bandwidth memory, and Micron has positioned itself as a primary supplier for this critical component. Company leadership indicated that robust demand coupled with constrained supply conditions will likely persist well into 2027.

The manufacturer is also negotiating extended, multi-year supply agreements with major customers, potentially transforming the business model toward greater predictability and reducing the historical boom-bust patterns that characterized the memory industry.

Despite these fundamental improvements, Micron continues trading at a valuation discount compared to AI chip designers, even as memory has become indispensable to the AI computing architecture.

AMD: Impressive Performance in Nvidia’s Shadow

AMD announced record quarterly sales of $10.3 billion for Q4 2025, representing a 34% year-over-year increase. The company achieved a non-GAAP gross margin of 57%.

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AMD Stock Card
Advanced Micro Devices, Inc., AMD

Chief Executive Lisa Su characterized 2025 as a transformational year and emphasized that the company began 2026 with substantial forward momentum. She highlighted the EPYC processor family and expanding data center AI operations as primary growth engines.

AMD is constructing a comprehensive AI ecosystem that encompasses data center graphics processors, server central processing units, and strategic system-level collaborations.

Market participants frequently position AMD as a direct competitor to Nvidia and sometimes dismiss it as the inferior alternative. However, AMD’s investment thesis doesn’t require outperforming Nvidia entirely. The company simply needs to capture increasing market share within a rapidly expanding addressable market while maintaining healthy profit margins.

If AMD sustains its AI accelerator growth trajectory while preserving margin discipline, several analysts believe current valuations may prove significantly discounted when viewed retrospectively.

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TSMC: The Essential Manufacturing Infrastructure Powering AI Innovation

TSMC produces the sophisticated semiconductor chips that power much of today’s AI economy. The foundry giant projects 2026 revenues will expand by nearly 30% when denominated in U.S. currency.


TSM Stock Card
Taiwan Semiconductor Manufacturing Company Limited, TSM

AI accelerator production represented a high-teens percentage of total 2025 revenue. Management forecasts this segment will grow at a compound annual growth rate in the mid-40 percent range during the five-year period beginning in 2024.

TSMC’s strategic position differs fundamentally from Micron or AMD. The company maintains diversification across products and customers rather than depending on any single offering or client relationship. As long as demand for leading-edge semiconductor manufacturing remains robust, TSMC occupies an irreplaceable position within the global supply chain.

The manufacturer operates production facilities throughout Taiwan, Japan, and the United States, with additional American expansion projects currently in development.

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Final Thoughts

Micron, AMD, and TSMC have all delivered compelling financial results in their latest reporting periods. Each company maintains substantial exposure to AI hardware demand while demonstrating expanding revenues and improving profitability. The sustainability of these growth trends will largely depend on whether AI infrastructure investment maintains its current pace throughout the remainder of 2026 and beyond.

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Banking Sector Earnings and Crude Oil Trends Dominate This Week’s Market Watch

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E-Mini S&P 500 Jun 26 (ES=F)

Key Takeaways

  • Major indices secured back-to-back weekly gains: S&P 500 advanced 3.5%, Dow Jones climbed 3%, Nasdaq jumped 4.7%
  • Financial sector heavyweights including JPMorgan, Goldman Sachs, and Bank of America release quarterly results this week
  • Consumer prices posted their steepest monthly jump in nearly two years during March, primarily fueled by energy costs
  • WTI crude trading around $98 per barrel, though forward contracts point to potential decline toward $85 by summer
  • Technology sector shows dramatic split: software names plunge 30% while chip manufacturers soar over 20% year-to-date

Equity markets concluded their second straight positive week as Wall Street shifts focus toward quarterly corporate reports. The benchmark S&P 500 index rose 3.5%, while the Dow Jones Industrial Average added 3% and the tech-heavy Nasdaq Composite surged 4.7% over the five-day period. Despite remaining in negative territory for 2026, all three major gauges now sit less than 1% away from returning to breakeven.

E-Mini S&P 500 Jun 26 (ES=F)
E-Mini S&P 500 Jun 26 (ES=F)

The coming days feature a packed calendar of corporate announcements. Goldman Sachs kicks things off Monday. JPMorgan Chase, Citigroup, and Wells Fargo deliver their numbers Tuesday. Bank of America and Morgan Stanley are scheduled for Wednesday, while Netflix and Taiwan Semiconductor round out the week with Thursday releases.

Investors remain attentive to international developments as well. Diplomatic negotiations between the United States and Iran conducted in Pakistan throughout the weekend concluded without breakthrough, as Tehran declined commitments regarding nuclear weapons development, Vice President JD Vance disclosed Saturday evening.

Crude Oil Remains Central Market Driver

Since hostilities between the United States and Iran commenced, petroleum prices have emerged as the primary metric capturing trader attention. West Texas Intermediate crude finished Friday’s session near $98 per barrel, representing a significant jump from approximately $68 before conflict erupted.

Yet forward contracts for July settlement are pricing oil substantially lower around $85. Evercore ISI’s Julian Emanuel suggested that WTI settling in the “low-to-mid $80s” range would sufficiently eliminate downward pressure on equities.

The temporary 14-day truce involving the United States, Israel, and Iran provided market participants with renewed confidence during the previous week. The sustainability of this ceasefire will largely determine petroleum pricing and, consequently, broader equity market trajectory.

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Friday’s inflation data revealed consumer prices climbed 0.9% during March, marking the steepest one-month advance since June 2022. Economic analysts attributed the bulk of this surge to energy-related increases stemming from geopolitical tensions.

The University of Michigan’s consumer sentiment gauge dropped to an all-time low in April, though researchers noted 98% of survey responses were gathered prior to the ceasefire announcement.

Source: Forex Factory

Diverging Fortunes Within Technology Sector

The performance gap among technology stocks has expanded dramatically. The iShares Software Sector ETF tumbled more than 7% during the past week and now shows a 30% decline year-to-date.

Salesforce represents the category’s weakest performer, sliding over 35% in 2026. AppLovin, Intuit, and ServiceNow have each retreated more than 40%. Microsoft, Palantir, and Oracle have all declined more than 25%.

Chip manufacturers present a contrasting picture. The VanEck Semiconductor ETF has gained over 20% during the current year. Intel, Applied Materials, Lam Research, and Marvell Technologies have each surged more than 50%.

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ASML unveils results Wednesday, followed by Taiwan Semiconductor on Thursday. Taiwan Semiconductor’s preliminary March revenue figures released last week indicated robust ongoing demand for artificial intelligence processors.

Netflix also joins the reporting schedule Thursday, capping an action-packed week for corporate earnings.

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Oil jumps 7%, bitcoin extends losses

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Oil jumps 7%, bitcoin extends losses

Oil futures surged on Hyperliquid after President Donald Trump ordered a naval blockade of the Strait of Hormuz, a major global supply chokepoint. The move came after Iran refused to give up its nuclear ambitions during peace talks in Islamabad earlier in the day.

Perpetual futures tied to WTI crude oil jumped to $96.40, up 7% on the day, extending early gains. Brent futures rose 6% to $96.

Notably, WTI futures registered $1.53 billion in trading volume, making it the third-most-traded instrument on the platform behind BTC and ETH. The data highlights growing investor preference for price discovery on decentralized blockchain platforms, especially when traditional markets are closed.

This blockade news couldn’t have come at a worse time, as mid-April marks a critical period for the oil market, when the large-scale drawdown of strategic petroleum reserves coordinated by the International Energy Agency begins to approach its limit.

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Those emergency releases, initiated after the war broke out on Feb. 28, have been offsetting a supply shortfall of roughly 4.5 to 5 million barrels per day caused by disrupted flows through the Strait of Hormuz, but as these buffers run down in the coming weeks, that gap risks widening sharply to roughly 10 to 11 million barrels per day if normal supply is not restored.

If this scenario materializes, it would amount to “a supply shock without precedent in the modern oil market,” the House of Saud recently said. The IEA’s Chief, Fatih Birol, warned last week that the oil supply shock could be worse in April than in March.

The impact on markets would likely be immediate, with oil benchmarks gapping higher on Monday amid tighter supply expectations, equities facing renewed risk-off pressure amid inflation concerns, and volatility rising across both traditional and crypto markets as traders reassess global growth assumptions.

Bitcoin, which is considered a leading indicator for risk assets by some traders, is already under pressure. As of writing, it changed hands near $71,000, down nearly 3% on the day, according to CoinDesk data.

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BTC adds to weekend losses on Trump blockade order

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Trump met Coinbase CEO Brian Armstrong before criticizing banks over crypto bill

Crypto prices are under further pressure during U.S. morning hours on Sunday after President Trump announced a blockade of the Strait of Hormuz.

“Effective immediately, the United States Navy … will begin the process of blockading any and all ships trying to enter, or leave, the Strait of Hormuz,” said the president in a social media post.

The president’s move came hours after Vice President J.D. Vance late Saturday announced that U.S. and Iranian negotiators had failed to agree to an extended ceasefire after long weekend meetings in Pakistan.

Trading above $73,000 for most of Saturday, bitcoin quickly pulled back to the $71,500 area following the Vance comments. In the minutes since President Trump announced the blockade, BTC has slid further to $70,900, now lower by 2.5% over the past 24 hours.

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The case for bringing Wall Street’s darkest corners to crypto

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The case for bringing Wall Street's darkest corners to crypto

The largest traders have a problem: how to keep their activity quiet enough to not influence market prices or reveal any long-term strategies.

In traditional markets like equities, they’ve had that ability for decades through so-called dark pools and off-exchange venues. Even as far back as January 2025, more than half of all U.S. equities trading took place off public exchanges, according to Bloomberg data.

Crypto has never had an equivalent, and the absence is increasingly difficult to ignore. Every trade on Hyperliquid, every order on a decentralized exchange, is visible to anyone paying attention, and companies like DeFiLlama and Arkham exist to collect and present that data in a digestible way.

The crypto market, which prides itself on disrupting traditional finance, has replicated one of TradFi’s most persistent structural problems: If you’re big enough to move markets, everyone can see you coming. As a result, firms providing liquidity on public decentralized exchanges say their strategies get reverse-engineered quickly

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“On Hyperliquid, one of the top market makers told us they have to rotate their trading strategies every three weeks because they get copied,” Denis Dariotis, co-founder of GoQuant, a crypto trading infrastructure firm backed by GSR, said in an interview. “That’s the alpha problem.”

There are other consequences, too. Market makers — the firms providing the liquidity that keeps crypto markets functioning — operate in full public view, and the industry has developed a habit of making them the villain whenever something goes wrong. Recent scrutiny of Jane Street‘s involvement in the Terra/Luna collapse is only the latest example. A large firm’s onchain activity gets traced, a narrative forms and the company spends weeks managing a PR crisis over trades that, on a traditional venue, would have been entirely unremarkable.

GoQuant’s answer is GoDark, a decentralized exchange (DEX) set to start up on Solana in May. That platform uses zero-knowledge proofs to conceal trade details not just from other market participants, but also from the node operators running the order book. The ambition is radical: a matching engine where nobody in the system can see what they’re matching.

The immediate question is whether that’s technically achievable at any useful speed. Zero-knowledge proofs are computationally expensive, and the architecture adds latency that privacy-agnostic systems don’t have to absorb. Internal testing puts order matching at 25 to 50 milliseconds — Dariotis frames this as fast relative to most decentralized exchanges, where execution often runs into the hundreds of milliseconds, and he’s right. But it’s also an order of magnitude slower than what’s available to firms co-located with a centralized exchange. For retail traders that gap probably doesn’t matter. For the market makers GoDark is banking on to provide liquidity, it might.

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Which brings up the harder problem. A private exchange with no volume is just a dark room. GoDark’s plan to seed liquidity mirrors what Hyperliquid did with its HLP vault — users deposit funds, the funds get deployed as market-making liquidity, participants take a cut of fees and first access to liquidations.

It worked for Hyperliquid. But it has not worked for most of the DEXes that have tried to replicate the model since, which have generally seen volume collapse once the incentive period ends.

Then there is the regulatory question, which the team has so far avoided having to answer directly. Traditional dark pools are private in the narrow sense that they conceal pre-trade order information, but they operate under post-trade reporting requirements and regulatory oversight.

GoDark’s privacy is more absolute by design, it’s structurally incapable of producing a full audit trail. The inclusion of automated OFAC screening is a gesture toward compliance, but it is unlikely to satisfy regulators who have spent the past three years pushing crypto toward more transparency, not less. How that tension resolves — and whether it limits institutional participation to jurisdictions with lighter oversight — remains to be seen.

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GoDark is separate from GoQuant’s existing institutional product of the same name, a spot DEX built with Copper and GSR that enters production next month and targets a different, narrower client base. The May launch is the retail-facing version.

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Europe’s Stablecoin Adoption Enters Execution as Firms Select Partners

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Europe’s Stablecoin Adoption Enters Execution as Firms Select Partners

Banks and corporates across Europe are moving beyond exploration and are now actively selecting infrastructure partners to support stablecoin adoption, according to Lamine Brahimi, co-founder and managing partner at crypto custody technology provider Taurus.

Brahimi told Cointelegraph that eighteen months ago, most conversations were still educational, focused on understanding stablecoins and their risks. Today, firms with board-level approval are preparing to go live. He said the introduction of Markets in Crypto-Assets Regulation (MiCA) has accelerated that transition by replacing fragmented national rules with a single regulatory regime.

“In the past twelve months alone some of Europe’s most stringent financial institutions are all arriving at the same conclusion, digital assets, including stablecoins, belong inside the existing banking stack, not beside it,” he said.

Stablecoin market cap. Source: DefiLlama

Corporate treasury teams are driving much of the demand. Initially focused on payments and settlement, companies are looking to use stablecoins to move funds faster, reduce costs and operate outside traditional banking hours, Brahimi said.

Related: Bank of France calls for tougher MiCA limits on stablecoin payments

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Demand drives stablecoin adoption in Europe

Brahimi said adoption is increasingly driven by practical needs rather than long-term strategy. “Once clients start asking for better settlement, more flexibility, or more efficient cross-border movement of value, the conversation becomes much more immediate and much more practical,” he added.

On Thursday, ClearBank Europe announced that it has become the first Dutch credit institution to secure approval under MiCA to operate as a crypto asset service provider. A consortium of major European banks, including ING, UniCredit, CaixaBank and BBVA, is also developing Qivalis, a MiCA-compliant euro stablecoin initiative designed to enable regulated onchain payments and settlement across Europe.

European banks are also moving ahead with stablecoin initiatives. Societe Generale has positioned its stablecoins around cross-border payments, onchain settlement, FX and cash management, while Oddo BHF has launched a MiCA-compliant euro stablecoin. Meanwhile, a consortium of banks, including ING, UniCredit and BNP Paribas is preparing a Swiss-franc stablecoin for the second half of 2026.

Source: Cointelegraph

Konstantin Vasilenko, co-founder and chief business development officer at Paybis, said the platform has seen rising demand for compatible stablecoins in Europe. Between October 2025 and March 2026, USDC (USDC) volume on Paybis in the EU climbed about 109%, while its share of total stablecoin activity increased from roughly 13% to 32%.

Vasilenko added that in the EU, Paybis stablecoin buy volume remained roughly five to six times higher than sell volume between October 2025 and March 2026. He also noted that average stablecoin transaction sizes were about 15% to 35% larger than typical Bitcoin (BTC) or Ether (ETH) trades. “That usually points to working capital, settlement use and more deliberate business flows,” he said.

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Related: Hong Kong grants first stablecoin licenses to Anchorpoint and HSBC

Stablecoin volumes could reach $1.5 quadrillion by 2035

A new report from Chainalysis projects that stablecoin transaction volumes could grow dramatically over the next decade, reaching as high as $719 trillion by 2035 under organic growth scenarios, up from about $28 trillion in 2025.

In a more aggressive scenario, volumes could climb to $1.5 quadrillion if stablecoins become a dominant payment infrastructure and wealth transfer from baby boomers to younger, more crypto-native generations accelerates adoption.

Will Harborne, CEO of stablecoin infrastructure provider Rhino.fi, said that stablecoins will become increasingly important for corporate treasury, cross-border settlement, and FX between euro and dollar stablecoins over the next few years.

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“I think every business will eventually start accepting and using stablecoins in some form, and the companies that prepare early will be in the best position when that shift becomes mainstream,” he said.

Magazine: How crypto laws changed in 2025 — and how they’ll change in 2026